2. Bundesliga
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
Unlock with ProAlready have an account? Log in
Braunschweig
Darmstadt
Expected goals, over/under and both teams to score — priced by the model before kick-off.
Unlock with ProAlready have an account? Log in
The model's top final scores with the best bookmaker odds.
Unlock with ProAlready have an account? Log in
Half-time score: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Regensburg
|
3 | 2 | 1 | 0 | +5 | 7 |
| 2 |
Paderborn
|
3 | 2 | 0 | 1 | +6 | 6 |
| 3 |
Heidenheim
|
3 | 2 | 0 | 1 | +3 | 6 |
| 4 |
Hamburg
|
3 | 2 | 0 | 1 | +2 | 6 |
| 5 |
Fortuna Dusseldorf
|
3 | 2 | 0 | 1 | +1 | 6 |
| 6 |
Sandhausen
|
3 | 2 | 0 | 1 | +1 | 6 |
| 7 |
Hansa Rostock
|
3 | 2 | 0 | 1 | +1 | 6 |
| 8 |
St Pauli
|
2 | 1 | 1 | 0 | +1 | 4 |
| 9 |
Kaiserslautern
|
2 | 1 | 1 | 0 | +1 | 4 |
| 10 |
Nurnberg
|
3 | 1 | 1 | 1 | +1 | 4 |
| 11 |
Magdeburg
|
2 | 1 | 0 | 1 | +0 | 3 |
| 12 |
Darmstadt
|
2 | 1 | 0 | 1 | -1 | 3 |
| 13 |
Holstein Kiel
|
2 | 0 | 2 | 0 | +0 | 2 |
| 14 |
Greuther Furth
|
3 | 0 | 2 | 1 | -2 | 2 |
| 15 |
Hannover
|
3 | 0 | 1 | 2 | -3 | 1 |
| 16 |
Karlsruhe
|
3 | 0 | 1 | 2 | -6 | 1 |
| 17 |
Bielefeld
|
3 | 0 | 0 | 3 | -5 | 0 |
| 18 |
Braunschweig
|
2 | 0 | 0 | 2 | -5 | 0 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
Green columns are the outcomes that came in.
Braunschweig
Hertha
Heidenheim
Braunschweig
Braunschweig
Hamburg
Hamburg
Braunschweig
Braunschweig
Wurzburger Kickers
M Burda · 52 kamper i vår database
🟥 Red cards: 0,04 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.